{"id":"https://openalex.org/W3205272658","doi":"https://doi.org/10.1109/jcc53141.2021.00012","title":"DRAM Failure Prediction in Large-Scale Data Centers","display_name":"DRAM Failure Prediction in Large-Scale Data Centers","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3205272658","doi":"https://doi.org/10.1109/jcc53141.2021.00012","mag":"3205272658"},"language":"en","primary_location":{"id":"doi:10.1109/jcc53141.2021.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcc53141.2021.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Joint Cloud Computing (JCC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024086091","display_name":"Fengyuan Yu","orcid":"https://orcid.org/0000-0002-3753-8897"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyuan Yu","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091676049","display_name":"Hongzuo Xu","orcid":"https://orcid.org/0000-0001-8074-1244"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongzuo Xu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000084858","display_name":"Songlei Jian","orcid":"https://orcid.org/0000-0002-1435-0410"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlei Jian","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021356897","display_name":"Chenlin Huang","orcid":"https://orcid.org/0000-0002-6792-1651"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlin Huang","raw_affiliation_strings":["National University of Defense Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100429826","display_name":"Yijie Wang","orcid":"https://orcid.org/0000-0002-2913-4016"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yijie Wang","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100941814","display_name":"Zhiyue Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyue Wu","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Processing Laboratory, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Processing Laboratory, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2447,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88500367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.9002007246017456},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7902693152427673},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7882976531982422},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5029718279838562},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4461178779602051},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.4452642798423767},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4202224612236023},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.4136272668838501},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2679321765899658},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.19174620509147644},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11896449327468872},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11616373062133789},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10718289017677307}],"concepts":[{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.9002007246017456},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7902693152427673},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7882976531982422},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5029718279838562},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4461178779602051},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4452642798423767},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4202224612236023},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.4136272668838501},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2679321765899658},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.19174620509147644},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11896449327468872},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11616373062133789},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10718289017677307},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jcc53141.2021.00012","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jcc53141.2021.00012","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Joint Cloud Computing (JCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311687","display_name":"Ministry of Education","ror":"https://ror.org/03m01yf64"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330215","display_name":"Natural Science Foundation for Distinguished Young Scholars of Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1987454953","https://openalex.org/W2120591095","https://openalex.org/W2154025470","https://openalex.org/W2553287105","https://openalex.org/W2562383263","https://openalex.org/W2735992466","https://openalex.org/W2752311492","https://openalex.org/W2772956929","https://openalex.org/W2811024573","https://openalex.org/W2905191756","https://openalex.org/W3004149215","https://openalex.org/W3016129047","https://openalex.org/W3040266635","https://openalex.org/W3042316119","https://openalex.org/W3043599974","https://openalex.org/W3132629440","https://openalex.org/W3135550350","https://openalex.org/W3158610901","https://openalex.org/W3168527239","https://openalex.org/W6780319068","https://openalex.org/W6781383112","https://openalex.org/W6791777268","https://openalex.org/W6794570784"],"related_works":["https://openalex.org/W3120961607","https://openalex.org/W4401568740","https://openalex.org/W2366107444","https://openalex.org/W3148568549","https://openalex.org/W2098207691","https://openalex.org/W1648516568","https://openalex.org/W361036515","https://openalex.org/W2161286015","https://openalex.org/W2269474412","https://openalex.org/W4211178602"],"abstract_inverted_index":{"Cloud":[0],"computing":[1],"is":[2,18,84],"developing":[3],"rapidly.":[4],"Data":[5],"centers":[6,45],"are":[7],"important":[8],"infrastructures":[9],"of":[10,20,46,68,103,145,147,154],"cloud":[11,47],"service":[12],"and":[13,78,93,113],"JointCloud":[14],"structure.":[15],"DRAM":[16,38,54,116],"failure":[17,39,55],"one":[19],"the":[21,51,73,101,124,137,143,152,158],"main":[22],"causes":[23],"which":[24,90],"can":[25,91,111,129],"lead":[26],"to":[27,150],"node":[28],"outage":[29],"in":[30,59,87,97,136,157],"data":[31,44,77],"centers.":[32],"This":[33],"paper":[34],"proposes":[35],"a":[36,66,104],"decision-tree-based":[37],"prediction":[40,56],"method":[41,110,149],"for":[42],"large-scale":[43],"service.":[48],"We":[49,64],"utilize":[50],"first":[52],"public-available":[53],"dataset":[57],"released":[58],"PAKDD":[60,125],"2021":[61,126],"AIOps":[62],"competition.":[63],"construct":[65],"suite":[67],"handcrafted":[69],"features":[70],"based":[71],"on":[72,123],"system":[74],"kernel":[75],"log":[76,80],"MCA":[79],"data.":[81],"Feature":[82],"engineering":[83],"detailedly":[85],"introduced":[86],"this":[88,98],"paper,":[89],"inspire":[92],"foster":[94],"future":[95],"research":[96],"field.":[99],"Harnessing":[100],"power":[102],"state-of-the-art":[105],"classifier":[106],"(i.e.,":[107],"XGBoost),":[108],"our":[109,148],"effectively":[112],"timely":[114],"predict":[115],"failures.":[117],"Our":[118],"solution":[119],"has":[120],"good":[121],"performance":[122,144],"dataset,":[127],"it":[128],"generally":[130],"achieve":[131],"more":[132],"than":[133],"60%":[134],"precision":[135],"validation":[138],"phase.":[139],"Extensive":[140],"experiments":[141],"investigate":[142],"variants":[146],"validate":[151],"significance":[153],"different":[155],"strategies":[156],"proposed":[159],"solution.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
